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MSc Applicable Mathematics

About the MSc programme

The MSc Applicable Mathematics is an innovative programme, drawing together traditional and modern mathematical techniques in a variety of social science contexts. It is designed both for mathematicians who wish to make themselves more marketable by adding some social science aspects to their knowledge and skills base, and for non-mathematicians with strong quantitative backgrounds who wish to add to and improve their understanding of the mathematics behind much of social science.

The programme will provide you with an increased knowledge of mathematics, particularly in algorithms, game theory, discrete mathematics, probability and stochastics, and optimisation, in addition to training in appropriate computational methods. Reflecting the world's dependence on computation, students will learn the programming language Java, and how to use it to apply their knowledge to real-world problems.

The skills and knowledge gained over the programme will open up a wide range of potential careers, including finance, business, software development, and industry. It will also provide a solid base for further studies at research level.

Programme details

You can find the most up-to-date list of optional courses for MSc Applicable Mathematics in the Programme Regulations section of the current School Calendar.

You must note however that while care has been taken to ensure that this information is up to date and correct, some circumstances may cause the School to subsequently change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to circumstances outside of its control. You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee places on its courses. You should visit the School's Calendar, or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the Updated graduate course and programme information page.

Graduate destinations

This programme is ideal preparation for a range of careers in industry, finance, government and research. Graduates of the programme have found employment in companies such as Amazon; BlackRock; Credit Suisse; Facebook; Goldman Sachs; Google; KPMG; National Grid and RBS.

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Application code: G1U2 (check availability)

Start date: 21 September 2017

Duration: 12 months full-time only

Minimum entry requirement: 2:1 degree or equivalent in a mathematically-based subject, or a scientific, engineering or social science subject with excellent mathematics background (see entry requirements)

English requirement: Standard (see English requirements)

GRE/GMAT requirement: None

Fee level: UK/EU £13,008 (provisional EU); overseas £20,112

Financial support: Graduate Support Scheme (see Financial support)

Application deadline: None – rolling admissions

Intake/applications in 2016:  31/218

 

Ana de Corbavia